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DTSTART:19700308T020000
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DTSTAMP:20260422T000712Z
LOCATION:501-502
DTSTART;TZID=America/Denver:20231114T171500
DTEND;TZID=America/Denver:20231114T184500
UID:submissions.supercomputing.org_SC23_sess361_bof193@linklings.com
SUMMARY:Machine Learning from the Data’s Perspective: Data-Centric AI for 
 Scientific Computing
DESCRIPTION:Christine Kirkpatrick (San Diego Supercomputer Center (SDSC), 
 CODATA); Geoffrey Fox (University of Virginia); and Vijay Janapa Reddi (Ha
 rvard University)\n\nThis BoF will spotlight the underemphasized role of i
 nputs and data in machine learning (ML), contrasting the prevalent focus o
 n hardware aspects. It invites the SC community to contribute insights in 
 these areas: 1) the value proposition for data-centric AI in scientific co
 mputing; 2) foundation models for the long tail of science; 3) the role of
  benchmarks in data-centric AI. To foster interactive dialogue, we will fa
 cilitate discussions, conduct live polling, and arrange short breakout ses
 sions. These activities will enable participants to delve into the practic
 al implications of data-centric AI, benchmarking, and contributing to scie
 ntific foundation models.\n\nTag: Artificial Intelligence/Machine Learning
 \n\nRegistration Category: Tech Program Reg Pass, Exhibits Reg Pass\n\n
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